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	Fix size limits in training data
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				|  | @ -160,7 +160,7 @@ class GoldCorpus(object): | |||
|                 yield item | ||||
|                 i += len(item[1]) | ||||
|                 if limit and i >= limit: | ||||
|                     break | ||||
|                     return | ||||
| 
 | ||||
|     @property | ||||
|     def dev_tuples(self): | ||||
|  | @ -180,7 +180,7 @@ class GoldCorpus(object): | |||
|                 n += len(sent_tuples[1]) | ||||
|                 if self.limit and i >= self.limit: | ||||
|                     break | ||||
|             i += len(paragraph_tuples) | ||||
|                 i += 1 | ||||
|         return n | ||||
| 
 | ||||
|     def train_docs(self, nlp, gold_preproc=False, max_length=None, | ||||
|  |  | |||
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